Cancel job - Reality Analysis

Reality Analysis

Download API definition:

This API is a Technical Preview and is available for testing purposes only. Do not use in production.

Cancel job

delete https://dev-api.bentley.com/reality-analysis/jobs/{id}

Cancel a job.

Authentication

Requires Authorization header with valid Bearer token for scope itwin-platform.

For more documentation on authorization and how to get access token visit OAUTH2 Authorization page.

Request parameters

Yes

Job id

Request headers

Authorization

Yes

OAuth access token with itwin-platform scope

Yes

Setting to application/vnd.bentley.itwin-platform.v2+json is recommended.

Response 200 OK

json

{
    "job": {
        "id": "5e315451-564e-4e8b-a952-45b14e6a9c90",
        "state": "TerminatingOnCancel",
        "userId": "3a8670f9-b69f-4a60-b958-f103d580755f",
        "executionInfo": {
            "createdDateTime": "2025-08-05T14:04:56.0000000+00:00"
        },
        "specifications": {
            "inputs": {
                "photos": "40a8142e-3277-4c65-922f-e1f3759b904b",
                "photoObjectDetector": "3879d57e-3387-4082-80d7-9bc94f974c7c"
            },
            "outputs": {
                "objects2D": "f4cc6131-a9c8-4833-8d2a-cd0a11b8b778"
            }
        },
        "name": "Objects2D Job",
        "type": "Objects2D",
        "iTwinId": "ce54f773-67db-4b4f-a98b-368329107429"
    }
}

This response indicates that request lacks valid authentication credentials. Access token might not been provided, issued by the wrong issuer, does not have required scopes or request headers were malformed.

json

{
    "error": {
        "code": "HeaderNotFound",
        "message": "Header Authorization was not found in the request. Access denied."
    }
}

Response 404 Not Found

This response indicates that the specified job was not found.

json

{
    "error": {
        "code": "JobNotFound",
        "message": "Requested job is not available."
    }
}

Response 422 Unprocessable Entity

The 422 (Unprocessable Entity) status code indicates that the request cannot be processed by the server due to a client error (e.g. malformed request syntax)

json

{
    "error": {
        "code": "InvalidRealityAnalysisRequest",
        "message": "Invalid request to Reality Analysis.",
        "details": [{
            "code": "InvalidChange",
            "message": "The job is about to complete. It is saving the data. Cancellation is not allowed during this period.",
            "target": ""
        }]
    }
}

Response 429 Too many requests

This response indicates that the client sent more requests than allowed by this API for the current tier of the client.

json

{
    "error": {
        "code": "RateLimitExceeded",
        "message": "The client sent more requests than allowed by this API for the current tier of the client."
    }
}

Response headers

retry-after

Number of seconds to wait until client is allowed to make more requests.

Definitions

Job

Job information.

String

Unique id of the job.

name

String, null

Name of the job.

type

JobTypes

state

JobState

userId

String

Identifier of the user that created the job.

iTwinId

String

iTwin Id for the job.

executionInfo

ExecutionInformation

specifications

Any of: Objects2DSpecifications Segmentation2DSpecifications Segmentation3DSpecifications SegmentationOrthophotoSpecifications ChangeDetectionSpecifications EvalO2DSpecifications EvalO3DSpecifications EvalS2DSpecifications EvalS3DSpecifications EvalSOrthoSpecifications ClearanceSpecifications

List of inputs, outputs and options for the job, must be in sync with the type.

json

{
    "type": "object",
    "title": "Job",
    "required": [
        "iTwinId",
        "specifications",
        "type",
        "executionInfo",
        "id",
        "state",
        "userId"
    ],
    "properties": {
        "id": {
            "type": "string",
            "description": "Unique id of the job."
        },
        "name": {
            "type": "string",
            "default": null,
            "pattern": "^([^\"<>|:*?\\\\/\\u0000-\\u001f])+$",
            "nullable": true,
            "maxLength": 256,
            "minLength": 3,
            "description": "Name of the job."
        },
        "type": {
            "$ref": "#/components/schemas/JobTypes"
        },
        "state": {
            "$ref": "#/components/schemas/JobState"
        },
        "userId": {
            "type": "string",
            "description": "Identifier of the user that created the job."
        },
        "iTwinId": {
            "type": "string",
            "description": "iTwin Id for the job."
        },
        "executionInfo": {
            "$ref": "#/components/schemas/ExecutionInformation"
        },
        "specifications": {
            "anyOf": [
                {
                    "$ref": "#/components/schemas/Objects2DSpecifications"
                },
                {
                    "$ref": "#/components/schemas/Segmentation2DSpecifications"
                },
                {
                    "$ref": "#/components/schemas/Segmentation3DSpecifications"
                },
                {
                    "$ref": "#/components/schemas/SegmentationOrthophotoSpecifications"
                },
                {
                    "$ref": "#/components/schemas/ChangeDetectionSpecifications"
                },
                {
                    "$ref": "#/components/schemas/EvalO2DSpecifications"
                },
                {
                    "$ref": "#/components/schemas/EvalO3DSpecifications"
                },
                {
                    "$ref": "#/components/schemas/EvalS2DSpecifications"
                },
                {
                    "$ref": "#/components/schemas/EvalS3DSpecifications"
                },
                {
                    "$ref": "#/components/schemas/EvalSOrthoSpecifications"
                },
                {
                    "$ref": "#/components/schemas/ClearanceSpecifications"
                }
            ],
            "description": "List of inputs, outputs and options for the job, must be in sync with the type."
        }
    },
    "description": "Job information.",
    "additionalProperties": false
}

Error

Contains error information.

code

String

One of a server-defined set of error codes.

target

String, null

The target of the error.

message

String

A human-readable representation of the error.

json

{
    "type": "object",
    "required": [
        "code",
        "message"
    ],
    "properties": {
        "code": {
            "type": "string",
            "description": "One of a server-defined set of error codes."
        },
        "target": {
            "type": "string",
            "nullable": true,
            "description": "The target of the error."
        },
        "message": {
            "type": "string",
            "description": "A human-readable representation of the error."
        }
    },
    "description": "Contains error information.",
    "additionalProperties": true
}

Job State

Job current state.

Queued

String

Active

String

TerminatingOnCancel

String

TerminatingOnFailure

String

Cancelled

String

Failed

String

Success

String

json

{
    "enum": [
        "Queued",
        "Active",
        "TerminatingOnCancel",
        "TerminatingOnFailure",
        "Cancelled",
        "Failed",
        "Success"
    ],
    "type": "string",
    "title": "Job State",
    "description": "Job current state."
}

Job type

Supported job types

Objects2D

String

Segmentation2D

String

Segmentation3D

String

SegmentationOrthophoto

String

ChangeDetection

String

EvalO2D

String

EvalO3D

String

EvalS2D

String

EvalS3D

String

EvalSOrtho

String

ClearanceCalculation

String

json

{
    "enum": [
        "Objects2D",
        "Segmentation2D",
        "Segmentation3D",
        "SegmentationOrthophoto",
        "ChangeDetection",
        "EvalO2D",
        "EvalO3D",
        "EvalS2D",
        "EvalS3D",
        "EvalSOrtho",
        "ClearanceCalculation"
    ],
    "title": "Job type",
    "description": "Supported job types"
}

Job Response

job

Job

json

{
    "type": "object",
    "title": "Job Response",
    "required": [
        "job"
    ],
    "properties": {
        "job": {
            "$ref": "#/components/schemas/Job"
        }
    },
    "additionalProperties": false
}

Error Response

Gives details for an error that occurred while handling the request. Note that clients MUST NOT assume that every failed request will produce an object of this schema, or that all of the properties in the response will be non-null, as the error may have prevented this response from being constructed.

error

Error

Error information.

json

{
    "type": "object",
    "title": "Error Response",
    "required": [
        "error"
    ],
    "properties": {
        "error": {
            "$ref": "#/components/schemas/Error",
            "description": "Error information."
        }
    },
    "description": "Gives details for an error that occurred while handling the request. Note that clients MUST NOT assume that every failed request will produce an object of this schema, or that all of the properties in the response will be non-null, as the error may have prevented this response from being constructed.",
    "additionalProperties": false
}

Eval Objects 2D Inputs

Following are the different inputs for the job.

reference

String

Reality data id of ContextScene annotated with embedded 2D object references.

prediction

String

Reality data id of ContextScene annotated with embedded 2D object predictions.

json

{
    "type": "object",
    "title": "Eval Objects 2D Inputs",
    "required": [
        "prediction",
        "reference"
    ],
    "properties": {
        "reference": {
            "type": "string",
            "description": "Reality data id of ContextScene annotated with embedded 2D object references."
        },
        "prediction": {
            "type": "string",
            "description": "Reality data id of ContextScene annotated with embedded 2D object predictions."
        }
    },
    "description": "Following are the different inputs for the job.",
    "additionalProperties": false
}

Eval Objects 3D Inputs

Following are the different inputs for the job.

reference

String

Reality data id of ContextScene annotated with embedded 3D object references.

prediction

String

Reality data id of ContextScene annotated with embedded 3D object predictions.

json

{
    "type": "object",
    "title": "Eval Objects 3D Inputs",
    "required": [
        "prediction",
        "reference"
    ],
    "properties": {
        "reference": {
            "type": "string",
            "description": "Reality data id of ContextScene annotated with embedded 3D object references."
        },
        "prediction": {
            "type": "string",
            "description": "Reality data id of ContextScene annotated with embedded 3D object predictions."
        }
    },
    "description": "Following are the different inputs for the job.",
    "additionalProperties": false
}

Eval Segmentation 2D Inputs

Following are the different inputs for the job.

reference

String

Reality data id of ContextScene, pointing to segmented photos reference.

prediction

String

Reality data id of ContextScene pointing to segmented photos prediction.

json

{
    "type": "object",
    "title": "Eval Segmentation 2D Inputs",
    "required": [
        "prediction",
        "reference"
    ],
    "properties": {
        "reference": {
            "type": "string",
            "description": "Reality data id of ContextScene, pointing to segmented photos reference."
        },
        "prediction": {
            "type": "string",
            "description": "Reality data id of ContextScene pointing to segmented photos prediction."
        }
    },
    "description": "Following are the different inputs for the job.",
    "additionalProperties": false
}

Eval Segmentation 3D Inputs

Following are the different inputs for the job.

reference

String

Reality data id of ContextScene, pointing to segmented point cloud reference.

prediction

String

Reality data id of ContextScene pointing to segmented point cloud prediction.

json

{
    "type": "object",
    "title": "Eval Segmentation 3D Inputs",
    "required": [
        "prediction",
        "reference"
    ],
    "properties": {
        "reference": {
            "type": "string",
            "description": "Reality data id of ContextScene, pointing to segmented point cloud reference."
        },
        "prediction": {
            "type": "string",
            "description": "Reality data id of ContextScene pointing to segmented point cloud prediction."
        }
    },
    "description": "Following are the different inputs for the job.",
    "additionalProperties": false
}

Eval Objects 2D Options

Options for Eval Objects 2D job.

thresholdIOU

Number, null

Intersection over union threshold.

json

{
    "type": "object",
    "title": "Eval Objects 2D Options",
    "properties": {
        "thresholdIOU": {
            "type": "number",
            "default": null,
            "nullable": true,
            "description": "Intersection over union threshold."
        }
    },
    "description": "Options for Eval Objects 2D job.",
    "additionalProperties": false
}

Eval Objects 2D Outputs

Following are the different output types for the job.

report

String, null

Path in Bucket of json report with binary classification.

objects2d

String, null

Reality data id of ContextScene annotated with classified embedded 2D objects.

json

{
    "type": "object",
    "title": "Eval Objects 2D Outputs",
    "properties": {
        "report": {
            "type": "string",
            "default": null,
            "pattern": "^bkt:.+",
            "nullable": true,
            "description": "Path in Bucket of json report with binary classification."
        },
        "objects2d": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene annotated with classified embedded 2D objects."
        }
    },
    "description": "Following are the different output types for the job.",
    "additionalProperties": false
}

Eval Objects 3D Options

Options for Eval Objects 3D job.

thresholdIOU

Number, null

Intersection over union threshold.

json

{
    "type": "object",
    "title": "Eval Objects 3D Options",
    "properties": {
        "thresholdIOU": {
            "type": "number",
            "default": null,
            "nullable": true,
            "description": "Intersection over union threshold."
        }
    },
    "description": "Options for Eval Objects 3D job.",
    "additionalProperties": false
}

Eval Objects 3D Outputs

Following are the different output types for the job.

report

String, null

Path in Bucket of json report with binary classification.

objects3d

String, null

Reality data id of ContextScene annotated with classified embedded 3D objects.

json

{
    "type": "object",
    "title": "Eval Objects 3D Outputs",
    "properties": {
        "report": {
            "type": "string",
            "default": null,
            "pattern": "^bkt:.+",
            "nullable": true,
            "description": "Path in Bucket of json report with binary classification."
        },
        "objects3d": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene annotated with classified embedded 3D objects."
        }
    },
    "description": "Following are the different output types for the job.",
    "additionalProperties": false
}

Eval Segmentation 2D Outputs

Following are the different output types for the job.

report

String, null

Path in Bucket of json report with confusion matrix.

segmentation2D

String, null

Reality data id of ContextScene, pointing to segmented photos.

segmentedPhotos

String, null

Reality data id of segmented photos, annotated with confusion matrix index.

json

{
    "type": "object",
    "title": "Eval Segmentation 2D Outputs",
    "properties": {
        "report": {
            "type": "string",
            "default": null,
            "pattern": "^bkt:.+",
            "nullable": true,
            "description": "Path in Bucket of json report with confusion matrix."
        },
        "segmentation2D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene, pointing to segmented photos."
        },
        "segmentedPhotos": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of segmented photos, annotated with confusion matrix index."
        }
    },
    "description": "Following are the different output types for the job.",
    "additionalProperties": false
}

Eval Segmentation 3D Outputs

Following are the different output types for the job.

report

String, null

Path in Bucket of json report with confusion matrix.

segmentation3D

String, null

Reality data id of ContextScene pointing to segmented point cloud.

segmentedPointCloud

String, null

Reality data id of segmented point cloud annotated with confusion matrix index.

json

{
    "type": "object",
    "title": "Eval Segmentation 3D Outputs",
    "properties": {
        "report": {
            "type": "string",
            "default": null,
            "pattern": "^bkt:.+",
            "nullable": true,
            "description": "Path in Bucket of json report with confusion matrix."
        },
        "segmentation3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene pointing to segmented point cloud."
        },
        "segmentedPointCloud": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of segmented point cloud annotated with confusion matrix index."
        }
    },
    "description": "Following are the different output types for the job.",
    "additionalProperties": false
}

Clearance Calculation Inputs

Following are the different inputs for the job.

model3D

String

Reality data id of a point cloud.

clearanceFootprint

String

Reality data id of building footprints.

json

{
    "type": "object",
    "title": "Clearance Calculation Inputs",
    "required": [
        "clearanceFootprint",
        "model3D"
    ],
    "properties": {
        "model3D": {
            "type": "string",
            "description": "Reality data id of a point cloud."
        },
        "clearanceFootprint": {
            "type": "string",
            "description": "Reality data id of building footprints."
        }
    },
    "description": "Following are the different inputs for the job.",
    "additionalProperties": false
}

Objects2D Inputs

Following are the different inputs for the job.

photos

String

Reality data id of ContextScene pointing to the photos to process.

model3D

String, null

Reality data id of ContextScene pointing to a collection of point clouds/meshes to process, or a point cloud, or a mesh.

objects2D

String, null

Reality data id of ContextScene annotated with embedded 2D objects. This input replaces the photoObjectDetector input.

photoObjectDetector

String, null

Reality data id of photo object detector or photo object detector identifier from the Detector Library.

json

{
    "type": "object",
    "title": "Objects2D Inputs",
    "required": [
        "photos"
    ],
    "properties": {
        "photos": {
            "type": "string",
            "description": "Reality data id of ContextScene pointing to the photos to process."
        },
        "model3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene pointing to a collection of point clouds/meshes to process, or a point cloud, or a mesh."
        },
        "objects2D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene annotated with embedded 2D objects. This input replaces the `photoObjectDetector` input."
        },
        "photoObjectDetector": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of photo object detector or photo object detector identifier from the Detector Library."
        }
    },
    "description": "Following are the different inputs for the job.",
    "additionalProperties": false
}

Clearance Calculation Outputs

Following are the different output types.

ovfAreas

String, null

Reality data id of OVF Clearance Areas.

ovfLines

String, null

Reality data id of OVF Clearance Lines.

ovfPoints

String, null

Reality data id of OVF Clearance Points.

json

{
    "type": "object",
    "title": "Clearance Calculation Outputs",
    "properties": {
        "ovfAreas": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of OVF Clearance Areas."
        },
        "ovfLines": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of OVF Clearance Lines."
        },
        "ovfPoints": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of OVF Clearance Points."
        }
    },
    "description": "Following are the different output types.",
    "additionalProperties": false
}

Eval Segmentation Orthophoto Inputs

Following are the different inputs for the job.

reference

String

Reality data id of ContextScene pointing to segmented photos reference.

prediction

String

Reality data id of ContextScene pointing to segmented photos prediction.

json

{
    "type": "object",
    "title": "Eval Segmentation Orthophoto Inputs",
    "required": [
        "prediction",
        "reference"
    ],
    "properties": {
        "reference": {
            "type": "string",
            "description": "Reality data id of ContextScene pointing to segmented photos reference."
        },
        "prediction": {
            "type": "string",
            "description": "Reality data id of ContextScene pointing to segmented photos prediction."
        }
    },
    "description": "Following are the different inputs for the job.",
    "additionalProperties": false
}

Objects2D Options

Options for Objects2D job.

crs

String, null

CRS used by locations3DAsSHP outputs.

maxDist

Number, null

Maximum distance between photos and 3D objects.

minPhotos

Integer, null

Minimum number of 2D objects to generate a 3D object.

useTiePoints

Boolean, null

Improve detection using tie points in oriented photos.

json

{
    "type": "object",
    "title": "Objects2D Options",
    "properties": {
        "crs": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "CRS used by `locations3DAsSHP` outputs."
        },
        "maxDist": {
            "type": "number",
            "default": null,
            "nullable": true,
            "description": "Maximum distance between photos and 3D objects."
        },
        "minPhotos": {
            "type": "integer",
            "default": null,
            "nullable": true,
            "description": "Minimum number of 2D objects to generate a 3D object."
        },
        "useTiePoints": {
            "type": "boolean",
            "default": null,
            "nullable": true,
            "description": "Improve detection using tie points in oriented photos."
        }
    },
    "description": "Options for Objects2D job.",
    "additionalProperties": false
}

Objects2D Outputs

Following are the different output types for the job.

objects2D

String, null

Reality data id of ContextScene, annotated with embedded 2D objects.

objects3D

String, null

Reality data id of ContextScene, annotated with embedded 3D objects.

locations3DAsSHP

String, null

Reality data id of 3D objects locations as SHP file, objects3d output must be defined.

objects3DAs3DTiles

String, null

Reality data id of 3D objects as 3D Tiles file, objects3d output must be defined.

objects3DAsGeoJSON

String, null

Reality data id of 3D objects as GeoJSON file, objects3d output must be defined.

locations3DAsGeoJSON

String, null

Reality data id of 3D objects locations as GeoJSON file, objects3d output must be defined.

json

{
    "type": "object",
    "title": "Objects2D Outputs",
    "properties": {
        "objects2D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene, annotated with embedded 2D objects."
        },
        "objects3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene, annotated with embedded 3D objects."
        },
        "locations3DAsSHP": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D objects locations as SHP file, `objects3d` output must be defined."
        },
        "objects3DAs3DTiles": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D objects as 3D Tiles file, `objects3d` output must be defined."
        },
        "objects3DAsGeoJSON": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D objects as GeoJSON file, `objects3d` output must be defined."
        },
        "locations3DAsGeoJSON": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D objects locations as GeoJSON file, `objects3d` output must be defined."
        }
    },
    "description": "Following are the different output types for the job.",
    "additionalProperties": false
}

Eval Segmentation Orthophoto Outputs

Following are the different output types.

report

String, null

Path in Bucket of json report with confusion matrix.

segmentation2D

String, null

Reality data id of ContextScene pointing to segmented photos.

segmentedPhotos

String, null

Reality data id of segmented photos annotated with confusion matrix index.

json

{
    "type": "object",
    "title": "Eval Segmentation Orthophoto Outputs",
    "properties": {
        "report": {
            "type": "string",
            "default": null,
            "pattern": "^bkt:.+",
            "nullable": true,
            "description": "Path in Bucket of json report with confusion matrix."
        },
        "segmentation2D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene pointing to segmented photos."
        },
        "segmentedPhotos": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of segmented photos annotated with confusion matrix index."
        }
    },
    "description": "Following are the different output types.",
    "additionalProperties": false
}

Execution Information

Execution information of a job.

endedDateTime

Date-time, null

End time of the job.

createdDateTime

Date-time

Creation time of the job.

processingUnits

Number, null

The number of processing units consumed by the job.

startedDateTime

Date-time, null

Start time of the job.

json

{
    "type": "object",
    "title": "Execution Information",
    "required": [
        "createdDateTime"
    ],
    "properties": {
        "endedDateTime": {
            "type": "string",
            "format": "date-time",
            "default": null,
            "nullable": true,
            "description": "End time of the job."
        },
        "createdDateTime": {
            "type": "string",
            "format": "date-time",
            "description": "Creation time of the job."
        },
        "processingUnits": {
            "type": "number",
            "default": null,
            "nullable": true,
            "description": "The number of processing units consumed by the job."
        },
        "startedDateTime": {
            "type": "string",
            "format": "date-time",
            "default": null,
            "nullable": true,
            "description": "Start time of the job."
        }
    },
    "description": "Execution information of a job.",
    "additionalProperties": false
}

Segmentation2D Inputs

Following are the different inputs for the job.

photos

String

Reality data id of the ContextScene pointing to the photos to process.

model3D

String, null

Reality data id of ContextScene pointing to a collection of point clouds/meshes to process, or a point cloud, or a mesh.

segmentation2D

String, null

Reality data id of ContextScene pointing to segmented photos. This input replaces photoSegmentationDetector input.

photoSegmentationDetector

String, null

Either reality data id of photo segmentation detector or photo segmentation detector identifier from the Detectors Library.

json

{
    "type": "object",
    "title": "Segmentation2D Inputs",
    "required": [
        "photos"
    ],
    "properties": {
        "photos": {
            "type": "string",
            "description": "Reality data id of the ContextScene pointing to the photos to process."
        },
        "model3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene pointing to a collection of point clouds/meshes to process, or a point cloud, or a mesh."
        },
        "segmentation2D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene pointing to segmented photos. This input replaces `photoSegmentationDetector` input."
        },
        "photoSegmentationDetector": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Either reality data id of photo segmentation detector or photo segmentation detector identifier from the Detectors Library."
        }
    },
    "description": "Following are the different inputs for the job.",
    "additionalProperties": false
}

Segmentation3D Inputs

Following are the different inputs for the job.

extent

String, null

Path in the bucket of the clipping polygon to apply.

model3D

String, null

Reality data id of ContextScene pointing to a collection of point clouds/meshes to process, or a point cloud, or a mesh.

segmentation3D

String, null

Reality data id of ContextScene pointing to a segmented point cloud, this input replaces pointCloudSegmentationDetector and model3D inputs.

pointCloudSegmentationDetector

String, null

Either reality data id of point cloud segmentation detector or point cloud segmentation detector identifier from the Detectors Library.

json

{
    "type": "object",
    "title": "Segmentation3D Inputs",
    "properties": {
        "extent": {
            "type": "string",
            "default": null,
            "pattern": "^bkt:.+",
            "nullable": true,
            "description": "Path in the bucket of the clipping polygon to apply."
        },
        "model3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene pointing to a collection of point clouds/meshes to process, or a point cloud, or a mesh."
        },
        "segmentation3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene pointing to a segmented point cloud, this input replaces `pointCloudSegmentationDetector` and `model3D` inputs."
        },
        "pointCloudSegmentationDetector": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Either reality data id of point cloud segmentation detector or point cloud segmentation detector identifier from the Detectors Library."
        }
    },
    "description": "Following are the different inputs for the job.",
    "additionalProperties": false
}

ChangeDetection Inputs

Following are the different inputs for the job.

model3dA

String

Reality data id of ContextScene, point cloud or mesh.

model3dB

String

Reality data id of ContextScene, point cloud or mesh.

json

{
    "type": "object",
    "title": "ChangeDetection Inputs",
    "required": [
        "model3dA",
        "model3dB"
    ],
    "properties": {
        "model3dA": {
            "type": "string",
            "description": "Reality data id of ContextScene, point cloud or mesh."
        },
        "model3dB": {
            "type": "string",
            "description": "Reality data id of ContextScene, point cloud or mesh."
        }
    },
    "description": "Following are the different inputs for the job.",
    "additionalProperties": false
}

Eval Objects 2D Specifications

Specifications for Eval Objects 2D job.

inputs

EvalO2DInputs

options

EvalO2DOptions

outputs

EvalO2DOutputs

json

{
    "type": "object",
    "title": "Eval Objects 2D Specifications",
    "required": [
        "inputs",
        "outputs"
    ],
    "properties": {
        "inputs": {
            "$ref": "#/components/schemas/EvalO2DInputs"
        },
        "options": {
            "$ref": "#/components/schemas/EvalO2DOptions"
        },
        "outputs": {
            "$ref": "#/components/schemas/EvalO2DOutputs"
        }
    },
    "description": "Specifications for Eval Objects 2D job.",
    "additionalProperties": false
}

Eval Objects 3D Specifications

Specifications for Eval Objects 3D job.

inputs

EvalO3DInputs

options

EvalO3DOptions

outputs

EvalO3DOutputs

json

{
    "type": "object",
    "title": "Eval Objects 3D Specifications",
    "required": [
        "inputs",
        "outputs"
    ],
    "properties": {
        "inputs": {
            "$ref": "#/components/schemas/EvalO3DInputs"
        },
        "options": {
            "$ref": "#/components/schemas/EvalO3DOptions"
        },
        "outputs": {
            "$ref": "#/components/schemas/EvalO3DOutputs"
        }
    },
    "description": "Specifications for Eval Objects 3D job.",
    "additionalProperties": false
}

Eval Segmentation 2D Specifications

Specifications for Eval Segmentation 2D job.

inputs

EvalS2DInputs

outputs

EvalS2DOutputs

json

{
    "type": "object",
    "title": "Eval Segmentation 2D Specifications",
    "required": [
        "inputs",
        "outputs"
    ],
    "properties": {
        "inputs": {
            "$ref": "#/components/schemas/EvalS2DInputs"
        },
        "outputs": {
            "$ref": "#/components/schemas/EvalS2DOutputs"
        }
    },
    "description": "Specifications for Eval Segmentation 2D job.",
    "additionalProperties": false
}

Eval Segmentation 3D Specifications

Specifications for Eval Segmentation 3D job.

inputs

EvalS3DInputs

outputs

EvalS3DOutputs

json

{
    "type": "object",
    "title": "Eval Segmentation 3D Specifications",
    "required": [
        "inputs",
        "outputs"
    ],
    "properties": {
        "inputs": {
            "$ref": "#/components/schemas/EvalS3DInputs"
        },
        "outputs": {
            "$ref": "#/components/schemas/EvalS3DOutputs"
        }
    },
    "description": "Specifications for Eval Segmentation 3D job.",
    "additionalProperties": false
}

Segmentation2D Options

Options for Segmentation2D job.

minPhotos

Integer, null

Minimum number of 2D detection to generate a 3D detection.

computeLineWidth

Boolean, null

Estimation 3D line width at each vertex.

removeSmallLines

Number, null

Remove 3D lines with total length smaller than this value.

json

{
    "type": "object",
    "title": "Segmentation2D Options",
    "properties": {
        "minPhotos": {
            "type": "integer",
            "default": null,
            "nullable": true,
            "description": "Minimum number of 2D detection to generate a 3D detection."
        },
        "computeLineWidth": {
            "type": "boolean",
            "default": null,
            "nullable": true,
            "description": "Estimation 3D line width at each vertex."
        },
        "removeSmallLines": {
            "type": "number",
            "default": null,
            "nullable": true,
            "description": "Remove 3D lines with total length smaller than this value."
        }
    },
    "description": "Options for Segmentation2D job.",
    "additionalProperties": false
}

Segmentation2D Outputs

Following are the different output types.

lines3D

String, null

Reality data id of ContextScene, annotated with embedded 3D lines.

polygons3D

String, null

Reality data id of ContextScene annotated with embedded 3D polygons.

segmentation2D

String, null

Reality data id of ContextScene pointing to segmented photos.

segmentedPhotos

String, null

Reality data id of segmented photos.

lines3DAs3DTiles

String, null

Reality data id of 3D lines as 3D Tiles file, lines3d output must be defined.

lines3DAsGeoJSON

String, null

Reality data id of 3D lines as GeoJSON file, lines3d output must be defined.

polygons3DAs3DTiles

String, null

Reality data id of 3D polygons as 3D Tiles file, polygons3d output must be defined.

polygons3DAsGeoJSON

String, null

Reality data id of 3D polygons as GeoJSON file, polygons3d output must be defined.

json

{
    "type": "object",
    "title": "Segmentation2D Outputs",
    "properties": {
        "lines3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene, annotated with embedded 3D lines."
        },
        "polygons3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene annotated with embedded 3D polygons."
        },
        "segmentation2D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene pointing to segmented photos."
        },
        "segmentedPhotos": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of segmented photos."
        },
        "lines3DAs3DTiles": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D lines as 3D Tiles file, `lines3d` output must be defined."
        },
        "lines3DAsGeoJSON": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D lines as GeoJSON file, `lines3d` output must be defined."
        },
        "polygons3DAs3DTiles": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D polygons as 3D Tiles file, `polygons3d` output must be defined."
        },
        "polygons3DAsGeoJSON": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D polygons as GeoJSON file, `polygons3d` output must be defined."
        }
    },
    "description": "Following are the different output types.",
    "additionalProperties": false
}

Segmentation3D Options

Options for Segmentation3D job.

crs

String, null

CRS used by POD, LAS, LAZ, PLY and SHP outputs.

saveConfidence

Boolean, null

Save confidence in 3D segmentation.

computeLineWidth

Boolean, null

Estimation 3D line width at each vertex.

keepInputResolution

Boolean, null

To make segmentation 3D output exact same point input.

removeSmallComponents

Number, null

Remove 3D lines with total length smaller than this value.

json

{
    "type": "object",
    "title": "Segmentation3D Options",
    "properties": {
        "crs": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "CRS used by POD, LAS, LAZ, PLY and SHP outputs."
        },
        "saveConfidence": {
            "type": "boolean",
            "default": null,
            "nullable": true,
            "description": "Save confidence in 3D segmentation."
        },
        "computeLineWidth": {
            "type": "boolean",
            "default": null,
            "nullable": true,
            "description": "Estimation 3D line width at each vertex."
        },
        "keepInputResolution": {
            "type": "boolean",
            "default": null,
            "nullable": true,
            "description": "To make segmentation 3D output exact same point input."
        },
        "removeSmallComponents": {
            "type": "number",
            "default": null,
            "nullable": true,
            "description": "Remove 3D lines with total length smaller than this value."
        }
    },
    "description": "Options for Segmentation3D job.",
    "additionalProperties": false
}

Segmentation3D Outputs

Following are the different output types for the job.

lines3D

String, null

Reality data id of ContextScene annotated with embedded 3D lines.

objects3D

String, null

Reality data id of ContextScene annotated with embedded 3D objects.

polygons3D

String, null

Reality data id of ContextScene annotated with embedded 3D polygons.

segmentation3D

String, null

Reality data id of ContextScene pointing to the segmented point cloud.

lines3DAs3DTiles

String, null

Reality data id of 3D lines as 3D Tiles file, lines3d output must be defined.

lines3DAsGeoJSON

String, null

Reality data id of 3D lines as GeoJSON file, lines3d output must be defined.

locations3DAsSHP

String, null

Reality data id of 3D objects locations as SHP file, objects3d output must be defined.

objects3DAs3DTiles

String, null

Reality data id of 3D objects as 3D Tiles file, objects3d output must be defined.

objects3DAsGeoJSON

String, null

Reality data id of 3D objects as GeoJSON file, objects3d output must be defined.

polygons3DAs3DTiles

String, null

Reality data id of 3D polygons as 3D Tiles file, polygons3d output must be defined.

polygons3DAsGeoJSON

String, null

Reality data id of 3D polygons as GeoJSON file, polygons3d output must be defined.

segmentation3DAsLAS

String, null

Reality data id of the segmented point cloud as LAS file, segmentation3D output must be defined.

segmentation3DAsLAZ

String, null

Reality data id of the segmented point cloud as LAZ file, segmentation3D output must be defined.

segmentation3DAsPLY

String, null

Reality data id of the segmented point cloud as PLY file, segmentation3D output must be defined.

segmentation3DAsPOD

String, null

Reality data id of the segmented point cloud as POD file, segmentation3D output must be defined.

segmentedPointCloud

String, null

Reality data id of the 3D segmentation as OPC file.

locations3DAsGeoJSON

String, null

Reality data id of 3D objects locations as GeoJSON file, objects3d output must be defined.

json

{
    "type": "object",
    "title": "Segmentation3D Outputs",
    "properties": {
        "lines3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene annotated with embedded 3D lines."
        },
        "objects3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene annotated with embedded 3D objects."
        },
        "polygons3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene annotated with embedded 3D polygons."
        },
        "segmentation3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene pointing to the segmented point cloud."
        },
        "lines3DAs3DTiles": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D lines as 3D Tiles file, `lines3d` output must be defined."
        },
        "lines3DAsGeoJSON": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D lines as GeoJSON file, `lines3d` output must be defined."
        },
        "locations3DAsSHP": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D objects locations as SHP file, `objects3d` output must be defined."
        },
        "objects3DAs3DTiles": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D objects as 3D Tiles file, `objects3d` output must be defined."
        },
        "objects3DAsGeoJSON": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D objects as GeoJSON file, `objects3d` output must be defined."
        },
        "polygons3DAs3DTiles": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D polygons as 3D Tiles file, `polygons3d` output must be defined."
        },
        "polygons3DAsGeoJSON": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D polygons as GeoJSON file, `polygons3d` output must be defined."
        },
        "segmentation3DAsLAS": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of the segmented point cloud as LAS file, `segmentation3D` output must be defined."
        },
        "segmentation3DAsLAZ": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of the segmented point cloud as LAZ file, `segmentation3D` output must be defined."
        },
        "segmentation3DAsPLY": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of the segmented point cloud as PLY file, `segmentation3D` output must be defined."
        },
        "segmentation3DAsPOD": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of the segmented point cloud as POD file, `segmentation3D` output must be defined."
        },
        "segmentedPointCloud": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of the 3D segmentation as OPC file."
        },
        "locations3DAsGeoJSON": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D objects locations as GeoJSON file, `objects3d` output must be defined."
        }
    },
    "description": "Following are the different output types for the job.",
    "additionalProperties": false
}

ChangeDetection Options

Options for ChangeDetection job.

outputCrs

String, null

CRS used by locations3DAsSHP output.

threshold

Number, null

High threshold to detect spatial changes (hysteresis detection).

filterThreshold

Number, null

Low threshold to detect spatial changes (hysteresis detection).

minPointsPerChange

Integer, null

Minimum number of points in a region to be considered as a change.

meshSamplingResolution

Number, null

Target point cloud resolution when starting from meshes.

json

{
    "type": "object",
    "title": "ChangeDetection Options",
    "properties": {
        "outputCrs": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "CRS used by `locations3DAsSHP` output."
        },
        "threshold": {
            "type": "number",
            "default": null,
            "nullable": true,
            "description": "High threshold to detect spatial changes (hysteresis detection)."
        },
        "filterThreshold": {
            "type": "number",
            "default": null,
            "nullable": true,
            "description": "Low threshold to detect spatial changes (hysteresis detection)."
        },
        "minPointsPerChange": {
            "type": "integer",
            "default": null,
            "nullable": true,
            "description": "Minimum number of points in a region to be considered as a change."
        },
        "meshSamplingResolution": {
            "type": "number",
            "default": null,
            "nullable": true,
            "description": "Target point cloud resolution when starting from meshes."
        }
    },
    "description": "Options for ChangeDetection job.",
    "additionalProperties": false
}

ChangeDetection Outputs

Following are the different output types for the job.

objects3D

String, null

Reality data id of ContextScene annotated with embedded 3D objects.

changesInModelA

String, null

Points in A not in B as OPC.

changesInModelB

String, null

Points in B not in A as OPC.

locations3DAsSHP

String, null

Reality data id of 3D objects locations as SHP format.

locations3DAsGeoJSON

String, null

Reality data id of 3D objects locations as GeoJSON file.

json

{
    "type": "object",
    "title": "ChangeDetection Outputs",
    "properties": {
        "objects3D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene annotated with embedded 3D objects."
        },
        "changesInModelA": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Points in A not in B as OPC."
        },
        "changesInModelB": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Points in B not in A as OPC."
        },
        "locations3DAsSHP": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D objects locations as SHP format."
        },
        "locations3DAsGeoJSON": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 3D objects locations as GeoJSON file."
        }
    },
    "description": "Following are the different output types for the job.",
    "additionalProperties": false
}

Clearance Calculation Specifications

Specifications for Clearance Calculation job.

inputs

ClearanceInputs

outputs

ClearanceOutputs

json

{
    "type": "object",
    "title": "Clearance Calculation Specifications",
    "required": [
        "inputs",
        "outputs"
    ],
    "properties": {
        "inputs": {
            "$ref": "#/components/schemas/ClearanceInputs"
        },
        "outputs": {
            "$ref": "#/components/schemas/ClearanceOutputs"
        }
    },
    "description": "Specifications for Clearance Calculation job.",
    "additionalProperties": false
}

Objects2D Specifications

Specifications for Objects2D job.

inputs

Objects2DInputs

options

Objects2DOptions

outputs

Objects2DOutputs

json

{
    "type": "object",
    "title": "Objects2D Specifications",
    "required": [
        "inputs",
        "outputs"
    ],
    "properties": {
        "inputs": {
            "$ref": "#/components/schemas/Objects2DInputs"
        },
        "options": {
            "$ref": "#/components/schemas/Objects2DOptions"
        },
        "outputs": {
            "$ref": "#/components/schemas/Objects2DOutputs"
        }
    },
    "description": "Specifications for Objects2D job.",
    "additionalProperties": false
}

Eval Segmentation Orthophoto Specifications

Specifications for Eval Segmentation Orthophoto job.

inputs

EvalSOrthoInputs

outputs

EvalSOrthoOutputs

json

{
    "type": "object",
    "title": "Eval Segmentation Orthophoto Specifications",
    "required": [
        "inputs",
        "outputs"
    ],
    "properties": {
        "inputs": {
            "$ref": "#/components/schemas/EvalSOrthoInputs"
        },
        "outputs": {
            "$ref": "#/components/schemas/EvalSOrthoOutputs"
        }
    },
    "description": "Specifications for Eval Segmentation Orthophoto job.",
    "additionalProperties": false
}

Segmentation2D Specifications

Specifications for Segmentation2D job.

inputs

Segmentation2DInputs

options

Segmentation2DOptions

outputs

Segmentation2DOutputs

json

{
    "type": "object",
    "title": "Segmentation2D Specifications",
    "required": [
        "inputs",
        "outputs"
    ],
    "properties": {
        "inputs": {
            "$ref": "#/components/schemas/Segmentation2DInputs"
        },
        "options": {
            "$ref": "#/components/schemas/Segmentation2DOptions"
        },
        "outputs": {
            "$ref": "#/components/schemas/Segmentation2DOutputs"
        }
    },
    "description": "Specifications for Segmentation2D job.",
    "additionalProperties": false
}

Segmentation3D Specifications

Specifications for Segmentation3D job.

inputs

Segmentation3DInputs

options

Segmentation3DOptions

outputs

Segmentation3DOutputs

json

{
    "type": "object",
    "title": "Segmentation3D Specifications",
    "required": [
        "inputs",
        "outputs"
    ],
    "properties": {
        "inputs": {
            "$ref": "#/components/schemas/Segmentation3DInputs"
        },
        "options": {
            "$ref": "#/components/schemas/Segmentation3DOptions"
        },
        "outputs": {
            "$ref": "#/components/schemas/Segmentation3DOutputs"
        }
    },
    "description": "Specifications for Segmentation3D job.",
    "additionalProperties": false
}

SegmentationOrthophoto Inputs

Following are the different inputs for job.

orthophoto

String

Reality data id of ContextScene pointing to orthophotos to process.

orthophotoSegmentationDetector

String

Either reality data id of orthophoto segmentation detector or orthophoto segmentation detector identifier from the Detectors Library.

json

{
    "type": "object",
    "title": "SegmentationOrthophoto Inputs",
    "required": [
        "orthophoto",
        "orthophotoSegmentationDetector"
    ],
    "properties": {
        "orthophoto": {
            "type": "string",
            "description": "Reality data id of ContextScene pointing to orthophotos to process."
        },
        "orthophotoSegmentationDetector": {
            "type": "string",
            "description": "Either reality data id of orthophoto segmentation detector or orthophoto segmentation detector identifier from the Detectors Library."
        }
    },
    "description": "Following are the different inputs for job.",
    "additionalProperties": false
}

ChangeDetection Specifications

Specifications for ChangeDetection job.

inputs

ChangeDetectionInputs

options

ChangeDetectionOptions

outputs

ChangeDetectionOutputs

json

{
    "type": "object",
    "title": "ChangeDetection Specifications",
    "required": [
        "inputs",
        "outputs"
    ],
    "properties": {
        "inputs": {
            "$ref": "#/components/schemas/ChangeDetectionInputs"
        },
        "options": {
            "$ref": "#/components/schemas/ChangeDetectionOptions"
        },
        "outputs": {
            "$ref": "#/components/schemas/ChangeDetectionOutputs"
        }
    },
    "description": "Specifications for ChangeDetection job.",
    "additionalProperties": false
}

SegmentationOrthophoto Outputs

Following are the different output types.

lines2D

String, null

Reality data id of ContextScene annotated with embedded 2D lines.

polygons2D

String, null

Reality data id of ContextScene annotated with embedded 2D polygons.

lines2DAsSHP

String, null

Reality data id of 2D lines as SHP file, lines2d output must be defined.

segmentation2D

String, null

Reality data id of ContextScene, pointing to segmented orthophotos.

polygons2DAsSHP

String, null

Reality data id of 2D polygons as SHP file, polygons2d output must be defined.

segmentedPhotos

String, null

Reality data id of segmented orthophotos.

lines2DAsGeoJSON

String, null

Reality data id of 2D lines as GeoJSON file, lines2d output must be defined.

polygons2DAsGeoJSON

String, null

Reality data id of 2D polygons as GeoJSON file, polygons2d output must be defined.

json

{
    "type": "object",
    "title": "SegmentationOrthophoto Outputs",
    "properties": {
        "lines2D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene annotated with embedded 2D lines."
        },
        "polygons2D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene annotated with embedded 2D polygons."
        },
        "lines2DAsSHP": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 2D lines as SHP file, `lines2d` output must be defined."
        },
        "segmentation2D": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of ContextScene, pointing to segmented orthophotos."
        },
        "polygons2DAsSHP": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 2D polygons as SHP file, `polygons2d` output must be defined."
        },
        "segmentedPhotos": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of segmented orthophotos."
        },
        "lines2DAsGeoJSON": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 2D lines as GeoJSON file, `lines2d` output must be defined."
        },
        "polygons2DAsGeoJSON": {
            "type": "string",
            "default": null,
            "nullable": true,
            "description": "Reality data id of 2D polygons as GeoJSON file, `polygons2d` output must be defined."
        }
    },
    "description": "Following are the different output types.",
    "additionalProperties": false
}

SegmentationOrthophoto Specifications

Specifications for SegmentationOrthophoto job.

inputs

SegmentationOrthophotoInputs

outputs

SegmentationOrthophotoOutputs

json

{
    "type": "object",
    "title": "SegmentationOrthophoto Specifications",
    "required": [
        "inputs",
        "outputs"
    ],
    "properties": {
        "inputs": {
            "$ref": "#/components/schemas/SegmentationOrthophotoInputs"
        },
        "outputs": {
            "$ref": "#/components/schemas/SegmentationOrthophotoOutputs"
        }
    },
    "description": "Specifications for SegmentationOrthophoto job.",
    "additionalProperties": false
}

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